{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ch07/simple_convnet.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, os\n",
    "sys.path.append(os.pardir)  # 親ディレクトリのファイルをインポートするための設定\n",
    "import pickle\n",
    "import numpy as np\n",
    "from collections import OrderedDict\n",
    "from common.layers import *\n",
    "from common.gradient import numerical_gradient\n",
    "\n",
    "\n",
    "class SimpleConvNet:\n",
    "    \"\"\"単純なConvNet\n",
    "\n",
    "    conv - relu - pool - affine - relu - affine - softmax\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    input_size : 入力サイズ（MNISTの場合は784）\n",
    "    hidden_size_list : 隠れ層のニューロンの数のリスト（e.g. [100, 100, 100]）\n",
    "    output_size : 出力サイズ（MNISTの場合は10）\n",
    "    activation : 'relu' or 'sigmoid'\n",
    "    weight_init_std : 重みの標準偏差を指定（e.g. 0.01）\n",
    "        'relu'または'he'を指定した場合は「Heの初期値」を設定\n",
    "        'sigmoid'または'xavier'を指定した場合は「Xavierの初期値」を設定\n",
    "    \"\"\"\n",
    "    def __init__(self, input_dim=(1, 28, 28), \n",
    "                 conv_param={'filter_num':30, 'filter_size':5, 'pad':0, 'stride':1},\n",
    "                 hidden_size=100, output_size=10, weight_init_std=0.01):\n",
    "        filter_num = conv_param['filter_num']\n",
    "        filter_size = conv_param['filter_size']\n",
    "        filter_pad = conv_param['pad']\n",
    "        filter_stride = conv_param['stride']\n",
    "        input_size = input_dim[1]\n",
    "        conv_output_size = (input_size - filter_size + 2*filter_pad) / filter_stride + 1\n",
    "        pool_output_size = int(filter_num * (conv_output_size/2) * (conv_output_size/2))\n",
    "\n",
    "        # 重みの初期化\n",
    "        self.params = {}\n",
    "        self.params['W1'] = weight_init_std * \\\n",
    "                            np.random.randn(filter_num, input_dim[0], filter_size, filter_size)\n",
    "        self.params['b1'] = np.zeros(filter_num)\n",
    "        self.params['W2'] = weight_init_std * \\\n",
    "                            np.random.randn(pool_output_size, hidden_size)\n",
    "        self.params['b2'] = np.zeros(hidden_size)\n",
    "        self.params['W3'] = weight_init_std * \\\n",
    "                            np.random.randn(hidden_size, output_size)\n",
    "        self.params['b3'] = np.zeros(output_size)\n",
    "\n",
    "        # レイヤの生成\n",
    "        self.layers = OrderedDict()\n",
    "        self.layers['Conv1'] = Convolution(self.params['W1'], self.params['b1'],\n",
    "                                           conv_param['stride'], conv_param['pad'])\n",
    "        self.layers['Relu1'] = Relu()\n",
    "        self.layers['Pool1'] = Pooling(pool_h=2, pool_w=2, stride=2)\n",
    "        self.layers['Affine1'] = Affine(self.params['W2'], self.params['b2'])\n",
    "        self.layers['Relu2'] = Relu()\n",
    "        self.layers['Affine2'] = Affine(self.params['W3'], self.params['b3'])\n",
    "\n",
    "        self.last_layer = SoftmaxWithLoss()\n",
    "\n",
    "    def predict(self, x):\n",
    "        for layer in self.layers.values():\n",
    "            x = layer.forward(x)\n",
    "\n",
    "        return x\n",
    "\n",
    "    def loss(self, x, t):\n",
    "        \"\"\"損失関数を求める\n",
    "        引数のxは入力データ、tは教師ラベル\n",
    "        \"\"\"\n",
    "        y = self.predict(x)\n",
    "        return self.last_layer.forward(y, t)\n",
    "\n",
    "    def accuracy(self, x, t, batch_size=100):\n",
    "        if t.ndim != 1 : t = np.argmax(t, axis=1)\n",
    "        \n",
    "        acc = 0.0\n",
    "        \n",
    "        for i in range(int(x.shape[0] / batch_size)):\n",
    "            tx = x[i*batch_size:(i+1)*batch_size]\n",
    "            tt = t[i*batch_size:(i+1)*batch_size]\n",
    "            y = self.predict(tx)\n",
    "            y = np.argmax(y, axis=1)\n",
    "            acc += np.sum(y == tt) \n",
    "        \n",
    "        return acc / x.shape[0]\n",
    "\n",
    "    def numerical_gradient(self, x, t):\n",
    "        \"\"\"勾配を求める（数値微分）\n",
    "\n",
    "        Parameters\n",
    "        ----------\n",
    "        x : 入力データ\n",
    "        t : 教師ラベル\n",
    "\n",
    "        Returns\n",
    "        -------\n",
    "        各層の勾配を持ったディクショナリ変数\n",
    "            grads['W1']、grads['W2']、...は各層の重み\n",
    "            grads['b1']、grads['b2']、...は各層のバイアス\n",
    "        \"\"\"\n",
    "        loss_w = lambda w: self.loss(x, t)\n",
    "\n",
    "        grads = {}\n",
    "        for idx in (1, 2, 3):\n",
    "            grads['W' + str(idx)] = numerical_gradient(loss_w, self.params['W' + str(idx)])\n",
    "            grads['b' + str(idx)] = numerical_gradient(loss_w, self.params['b' + str(idx)])\n",
    "\n",
    "        return grads\n",
    "\n",
    "    def gradient(self, x, t):\n",
    "        \"\"\"勾配を求める（誤差逆伝搬法）\n",
    "\n",
    "        Parameters\n",
    "        ----------\n",
    "        x : 入力データ\n",
    "        t : 教師ラベル\n",
    "\n",
    "        Returns\n",
    "        -------\n",
    "        各層の勾配を持ったディクショナリ変数\n",
    "            grads['W1']、grads['W2']、...は各層の重み\n",
    "            grads['b1']、grads['b2']、...は各層のバイアス\n",
    "        \"\"\"\n",
    "        # forward\n",
    "        self.loss(x, t)\n",
    "\n",
    "        # backward\n",
    "        dout = 1\n",
    "        dout = self.last_layer.backward(dout)\n",
    "\n",
    "        layers = list(self.layers.values())\n",
    "        layers.reverse()\n",
    "        for layer in layers:\n",
    "            dout = layer.backward(dout)\n",
    "\n",
    "        # 設定\n",
    "        grads = {}\n",
    "        grads['W1'], grads['b1'] = self.layers['Conv1'].dW, self.layers['Conv1'].db\n",
    "        grads['W2'], grads['b2'] = self.layers['Affine1'].dW, self.layers['Affine1'].db\n",
    "        grads['W3'], grads['b3'] = self.layers['Affine2'].dW, self.layers['Affine2'].db\n",
    "\n",
    "        return grads\n",
    "        \n",
    "    def save_params(self, file_name=\"params.pkl\"):\n",
    "        params = {}\n",
    "        for key, val in self.params.items():\n",
    "            params[key] = val\n",
    "        with open(file_name, 'wb') as f:\n",
    "            pickle.dump(params, f)\n",
    "\n",
    "    def load_params(self, file_name=\"params.pkl\"):\n",
    "        with open(file_name, 'rb') as f:\n",
    "            params = pickle.load(f)\n",
    "        for key, val in params.items():\n",
    "            self.params[key] = val\n",
    "\n",
    "        for i, key in enumerate(['Conv1', 'Affine1', 'Affine2']):\n",
    "            self.layers[key].W = self.params['W' + str(i+1)]\n",
    "            self.layers[key].b = self.params['b' + str(i+1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ch07/gradient_check.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "W1 1.6044497179764736e-06\n",
      "b1 2.939873711587367e-06\n",
      "W2 5.008540813417003e-11\n",
      "b2 3.7115586000446842e-09\n",
      "W3 9.675087890977053e-11\n",
      "b3 1.799112866823771e-07\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "network = SimpleConvNet(input_dim=(1,10, 10), \n",
    "                        conv_param = {'filter_num':10, 'filter_size':3, 'pad':0, 'stride':1},\n",
    "                        hidden_size=10, output_size=10, weight_init_std=0.01)\n",
    "\n",
    "X = np.random.rand(100).reshape((1, 1, 10, 10))\n",
    "T = np.array([1]).reshape((1,1))\n",
    "\n",
    "grad_num = network.numerical_gradient(X, T)\n",
    "grad = network.gradient(X, T)\n",
    "\n",
    "for key, val in grad_num.items():\n",
    "    print(key, np.abs(grad_num[key] - grad[key]).mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ch07/train_convnet.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "=============== Final Test Accuracy ===============\n",
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      "Saved Network Parameters!\n"
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import sys, os\n",
    "sys.path.append(os.pardir)  # 親ディレクトリのファイルをインポートするための設定\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from dataset.mnist import load_mnist\n",
    "from common.trainer import Trainer\n",
    "\n",
    "# データの読み込み\n",
    "(x_train, t_train), (x_test, t_test) = load_mnist(flatten=False)\n",
    "\n",
    "# 処理に時間のかかる場合はデータを削減 \n",
    "#x_train, t_train = x_train[:5000], t_train[:5000]\n",
    "#x_test, t_test = x_test[:1000], t_test[:1000]\n",
    "\n",
    "max_epochs = 20\n",
    "\n",
    "network = SimpleConvNet(input_dim=(1,28,28), \n",
    "                        conv_param = {'filter_num': 30, 'filter_size': 5, 'pad': 0, 'stride': 1},\n",
    "                        hidden_size=100, output_size=10, weight_init_std=0.01)\n",
    "                        \n",
    "trainer = Trainer(network, x_train, t_train, x_test, t_test,\n",
    "                  epochs=max_epochs, mini_batch_size=100,\n",
    "                  optimizer='Adam', optimizer_param={'lr': 0.001},\n",
    "                  evaluate_sample_num_per_epoch=1000)\n",
    "trainer.train()\n",
    "\n",
    "# パラメータの保存\n",
    "network.save_params(\"../ch07/params.pkl\")\n",
    "print(\"Saved Network Parameters!\")\n",
    "\n",
    "# グラフの描画\n",
    "markers = {'train': 'o', 'test': 's'}\n",
    "x = np.arange(max_epochs)\n",
    "plt.plot(x, trainer.train_acc_list, marker='o', label='train', markevery=2)\n",
    "plt.plot(x, trainer.test_acc_list, marker='s', label='test', markevery=2)\n",
    "plt.xlabel(\"epochs\")\n",
    "plt.ylabel(\"accuracy\")\n",
    "plt.ylim(0, 1.0)\n",
    "plt.legend(loc='lower right')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ch07/visualize_filter.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 30 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def filter_show(filters, nx=8, margin=3, scale=10):\n",
    "    \"\"\"\n",
    "    c.f. https://gist.github.com/aidiary/07d530d5e08011832b12#file-draw_weight-py\n",
    "    \"\"\"\n",
    "    FN, C, FH, FW = filters.shape\n",
    "    ny = int(np.ceil(FN / nx))\n",
    "\n",
    "    fig = plt.figure()\n",
    "    fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.05, wspace=0.05)\n",
    "\n",
    "    for i in range(FN):\n",
    "        ax = fig.add_subplot(ny, nx, i+1, xticks=[], yticks=[])\n",
    "        ax.imshow(filters[i, 0], cmap=plt.cm.gray_r, interpolation='nearest')\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "network = SimpleConvNet()\n",
    "# ランダム初期化後の重み\n",
    "filter_show(network.params['W1'])\n",
    "\n",
    "# 学習後の重み\n",
    "network.load_params(\"../ch07/params.pkl\")\n",
    "filter_show(network.params['W1'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ch07/apply_filter.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import sys, os\n",
    "sys.path.append(os.pardir)  # 親ディレクトリのファイルをインポートするための設定\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.image import imread\n",
    "from common.layers import Convolution\n",
    "\n",
    "def filter_show(filters, nx=4, show_num=16):\n",
    "    \"\"\"\n",
    "    c.f. https://gist.github.com/aidiary/07d530d5e08011832b12#file-draw_weight-py\n",
    "    \"\"\"\n",
    "    FN, C, FH, FW = filters.shape\n",
    "    ny = int(np.ceil(show_num / nx))\n",
    "\n",
    "    fig = plt.figure()\n",
    "    fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.05, wspace=0.05)\n",
    "\n",
    "    for i in range(show_num):\n",
    "        ax = fig.add_subplot(4, 4, i+1, xticks=[], yticks=[])\n",
    "        ax.imshow(filters[i, 0], cmap=plt.cm.gray_r, interpolation='nearest')\n",
    "\n",
    "\n",
    "network = SimpleConvNet(input_dim=(1,28,28), \n",
    "                        conv_param = {'filter_num':30, 'filter_size':5, 'pad':0, 'stride':1},\n",
    "                        hidden_size=100, output_size=10, weight_init_std=0.01)\n",
    "\n",
    "# 学習後の重み\n",
    "network.load_params(\"../ch07/params.pkl\")\n",
    "\n",
    "filter_show(network.params['W1'], 16)\n",
    "\n",
    "img = imread('../dataset/lena_gray.png')\n",
    "img = img.reshape(1, 1, *img.shape)\n",
    "\n",
    "fig = plt.figure()\n",
    "\n",
    "w_idx = 1\n",
    "\n",
    "for i in range(16):\n",
    "    w = network.params['W1'][i]\n",
    "    b = 0  # network.params['b1'][i]\n",
    "\n",
    "    w = w.reshape(1, *w.shape)\n",
    "    #b = b.reshape(1, *b.shape)\n",
    "    conv_layer = Convolution(w, b) \n",
    "    out = conv_layer.forward(img)\n",
    "    out = out.reshape(out.shape[2], out.shape[3])\n",
    "    \n",
    "    ax = fig.add_subplot(4, 4, i+1, xticks=[], yticks=[])\n",
    "    ax.imshow(out, cmap=plt.cm.gray_r, interpolation='nearest')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dezero:Python",
   "language": "python",
   "name": "conda-env-dezero-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
